Li, B.; Zheng, X.; Zhang, J.; Lam, S.; Guo, W.; Wang, Y.; Cui, S.; Teng, X.; Zhang, Y.; Ma, Z.;
et al. Lung Subregion Partitioning by Incremental Dose Intervals Improves Omics-Based Prediction for Acute Radiation Pneumonitis in Non-Small-Cell Lung Cancer Patients. Cancers 2022, 14, 4889.
https://doi.org/10.3390/cancers14194889
AMA Style
Li B, Zheng X, Zhang J, Lam S, Guo W, Wang Y, Cui S, Teng X, Zhang Y, Ma Z,
et al. Lung Subregion Partitioning by Incremental Dose Intervals Improves Omics-Based Prediction for Acute Radiation Pneumonitis in Non-Small-Cell Lung Cancer Patients. Cancers. 2022; 14(19):4889.
https://doi.org/10.3390/cancers14194889
Chicago/Turabian Style
Li, Bing, Xiaoli Zheng, Jiang Zhang, Saikit Lam, Wei Guo, Yunhan Wang, Sunan Cui, Xinzhi Teng, Yuanpeng Zhang, Zongrui Ma,
and et al. 2022. "Lung Subregion Partitioning by Incremental Dose Intervals Improves Omics-Based Prediction for Acute Radiation Pneumonitis in Non-Small-Cell Lung Cancer Patients" Cancers 14, no. 19: 4889.
https://doi.org/10.3390/cancers14194889
APA Style
Li, B., Zheng, X., Zhang, J., Lam, S., Guo, W., Wang, Y., Cui, S., Teng, X., Zhang, Y., Ma, Z., Zhou, T., Lou, Z., Meng, L., Ge, H., & Cai, J.
(2022). Lung Subregion Partitioning by Incremental Dose Intervals Improves Omics-Based Prediction for Acute Radiation Pneumonitis in Non-Small-Cell Lung Cancer Patients. Cancers, 14(19), 4889.
https://doi.org/10.3390/cancers14194889
